Quanscient achieves first 3D diffusion simulation on IQM superconducting quantum chip

Quanscient has achieved a major milestone by performing the first-ever 3D advection-diffusion simulation on a superconducting quantum processor using the Quantum Lattice Boltzmann Method (QLBM).

As part of its collaboration with IQM Quantum Computers, Quanscient Quantum Labs ran the simulation on IQM’s Crystal 54-qubit Emerald chip through the IQM Resonance platform. This marks the first time a 3D diffusion problem with 27 discrete flow directions has been encoded and evolved in a quantum circuit on superconducting hardware, demonstrating the potential of quantum computing to tackle complex engineering and physics problems.

Traditional simulations of diffusion processes require substantial computational resources and long runtimes. By successfully executing a 3D QLBM simulation on Emerald, Quanscient has shown that quantum computing can drastically reduce these limitations, opening a path to faster and more scalable simulations.

During the project, 15 qubits were used to represent an 8×8×8 lattice and 27 flow directions, evolving the system step by step to model diffusion processes such as contaminant spreading in water. By carefully optimizing the quantum circuit and applying advanced error mitigation techniques, Quanscient Quantum Labs successfully demonstrated a practical 3D quantum simulation on superconducting hardware.

This milestone demonstrates Quanscient Quantum Labs’ expertise in developing advanced quantum algorithms tailored for real-world hardware, bridging theoretical research and practical engineering needs.

It opens the door to applying quantum computing in complex engineering simulations, including fluid dynamics, acoustics, energy systems, and materials science. These faster and more accurate simulations can significantly accelerate product development and innovation across industries.

Through its work with advanced quantum hardware, Quanscient continues to shape the future of engineering simulations and make quantum technologies accessible for real-world challenges, and is now looking for partners in aerospace, maritime, automotive, and other engineering domains to further develop and apply these quantum algorithms.

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